{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KNE2LJIQA6QK7LHTYG7N6KUQ3R","short_pith_number":"pith:KNE2LJIQ","canonical_record":{"source":{"id":"2305.02745","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-04T11:33:37Z","cross_cats_sorted":[],"title_canon_sha256":"5e505b378bb0966cedfd15398c68e901dd17e08b1dd5ce561ae10b8433e3c4a3","abstract_canon_sha256":"b29f222682fffae702ddd32a847ec877fcd357f31bc7ab4c7efcfeb046dab727"},"schema_version":"1.0"},"canonical_sha256":"5349a5a51007a0afacf3c1bedf2a90dc609322eeeec9af427fafc22fe58e2d71","source":{"kind":"arxiv","id":"2305.02745","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.02745","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"arxiv_version","alias_value":"2305.02745v1","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.02745","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"pith_short_12","alias_value":"KNE2LJIQA6QK","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"pith_short_16","alias_value":"KNE2LJIQA6QK7LHT","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"pith_short_8","alias_value":"KNE2LJIQ","created_at":"2026-07-05T06:07:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KNE2LJIQA6QK7LHTYG7N6KUQ3R","target":"record","payload":{"canonical_record":{"source":{"id":"2305.02745","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-04T11:33:37Z","cross_cats_sorted":[],"title_canon_sha256":"5e505b378bb0966cedfd15398c68e901dd17e08b1dd5ce561ae10b8433e3c4a3","abstract_canon_sha256":"b29f222682fffae702ddd32a847ec877fcd357f31bc7ab4c7efcfeb046dab727"},"schema_version":"1.0"},"canonical_sha256":"5349a5a51007a0afacf3c1bedf2a90dc609322eeeec9af427fafc22fe58e2d71","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:07:04.573633Z","signature_b64":"QWIqBEWGxupeLzbsDG+asPIN3uultK2WYZiRSu9NLGyT2D6DefeSVAUUiGRBmvXX19TraFLggB1x4X6rt1pwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5349a5a51007a0afacf3c1bedf2a90dc609322eeeec9af427fafc22fe58e2d71","last_reissued_at":"2026-07-05T06:07:04.573249Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:07:04.573249Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.02745","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:07:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kYj3iam97Wt99DcVrCdxvAbBJdx2vCBFDWB3Kzz0gg4N+1/pqsYx3PSdxGJuCZl8BOYw8S7deRzob7azRsqsDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T17:14:23.707997Z"},"content_sha256":"f9fa19b70a05213f06dae6f9ff56de4edd9ebb6a9eb78075e7cf41f714f2e5e1","schema_version":"1.0","event_id":"sha256:f9fa19b70a05213f06dae6f9ff56de4edd9ebb6a9eb78075e7cf41f714f2e5e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KNE2LJIQA6QK7LHTYG7N6KUQ3R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Age-Invariant Face Embedding using the Wasserstein Distance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Eran Dahan, Yosi Keller","submitted_at":"2023-05-04T11:33:37Z","abstract_excerpt":"In this work, we study face verification in datasets where images of the same individuals exhibit significant age differences. This poses a major challenge for current face recognition and verification techniques. To address this issue, we propose a novel approach that utilizes multitask learning and a Wasserstein distance discriminator to disentangle age and identity embeddings of facial images. Our approach employs multitask learning with a Wasserstein distance discriminator that minimizes the mutual information between the age and identity embeddings by minimizing the Jensen-Shannon diverge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.02745","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2305.02745/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:07:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"La4orQ8xEWjQYToSy18xNCYkVGrtvBDWByBxaTmCJRruKN3ZgXNbf5lXcvpVv4deYqaIoYjktbj2gV/9JmBPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T17:14:23.708522Z"},"content_sha256":"6ef6953aeebc6a78f943aae6358098f4f7583efeeb2d7a91ea054ac56c84f657","schema_version":"1.0","event_id":"sha256:6ef6953aeebc6a78f943aae6358098f4f7583efeeb2d7a91ea054ac56c84f657"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KNE2LJIQA6QK7LHTYG7N6KUQ3R/bundle.json","state_url":"https://pith.science/pith/KNE2LJIQA6QK7LHTYG7N6KUQ3R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KNE2LJIQA6QK7LHTYG7N6KUQ3R/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-17T17:14:23Z","links":{"resolver":"https://pith.science/pith/KNE2LJIQA6QK7LHTYG7N6KUQ3R","bundle":"https://pith.science/pith/KNE2LJIQA6QK7LHTYG7N6KUQ3R/bundle.json","state":"https://pith.science/pith/KNE2LJIQA6QK7LHTYG7N6KUQ3R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KNE2LJIQA6QK7LHTYG7N6KUQ3R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KNE2LJIQA6QK7LHTYG7N6KUQ3R","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b29f222682fffae702ddd32a847ec877fcd357f31bc7ab4c7efcfeb046dab727","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-04T11:33:37Z","title_canon_sha256":"5e505b378bb0966cedfd15398c68e901dd17e08b1dd5ce561ae10b8433e3c4a3"},"schema_version":"1.0","source":{"id":"2305.02745","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.02745","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"arxiv_version","alias_value":"2305.02745v1","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.02745","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"pith_short_12","alias_value":"KNE2LJIQA6QK","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"pith_short_16","alias_value":"KNE2LJIQA6QK7LHT","created_at":"2026-07-05T06:07:04Z"},{"alias_kind":"pith_short_8","alias_value":"KNE2LJIQ","created_at":"2026-07-05T06:07:04Z"}],"graph_snapshots":[{"event_id":"sha256:6ef6953aeebc6a78f943aae6358098f4f7583efeeb2d7a91ea054ac56c84f657","target":"graph","created_at":"2026-07-05T06:07:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.02745/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we study face verification in datasets where images of the same individuals exhibit significant age differences. This poses a major challenge for current face recognition and verification techniques. To address this issue, we propose a novel approach that utilizes multitask learning and a Wasserstein distance discriminator to disentangle age and identity embeddings of facial images. Our approach employs multitask learning with a Wasserstein distance discriminator that minimizes the mutual information between the age and identity embeddings by minimizing the Jensen-Shannon diverge","authors_text":"Eran Dahan, Yosi Keller","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-04T11:33:37Z","title":"Age-Invariant Face Embedding using the Wasserstein Distance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.02745","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f9fa19b70a05213f06dae6f9ff56de4edd9ebb6a9eb78075e7cf41f714f2e5e1","target":"record","created_at":"2026-07-05T06:07:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b29f222682fffae702ddd32a847ec877fcd357f31bc7ab4c7efcfeb046dab727","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-04T11:33:37Z","title_canon_sha256":"5e505b378bb0966cedfd15398c68e901dd17e08b1dd5ce561ae10b8433e3c4a3"},"schema_version":"1.0","source":{"id":"2305.02745","kind":"arxiv","version":1}},"canonical_sha256":"5349a5a51007a0afacf3c1bedf2a90dc609322eeeec9af427fafc22fe58e2d71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5349a5a51007a0afacf3c1bedf2a90dc609322eeeec9af427fafc22fe58e2d71","first_computed_at":"2026-07-05T06:07:04.573249Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:07:04.573249Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QWIqBEWGxupeLzbsDG+asPIN3uultK2WYZiRSu9NLGyT2D6DefeSVAUUiGRBmvXX19TraFLggB1x4X6rt1pwCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:07:04.573633Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.02745","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9fa19b70a05213f06dae6f9ff56de4edd9ebb6a9eb78075e7cf41f714f2e5e1","sha256:6ef6953aeebc6a78f943aae6358098f4f7583efeeb2d7a91ea054ac56c84f657"],"state_sha256":"455b5292c7bd51b4903cdad9ab7eef07739a763d0618d9d90905a883619e21ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RCjHomCUtlQppuDGPN9G6ESAuKd0DWWdBbeTsqfD0642M6rsmwFwY8kyjWYX3OhD2ZSLcdbZ11/4cunLzxcWAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T17:14:23.713812Z","bundle_sha256":"1a3c7e9f541c536c97a293bf680a963c65dd81b1e7cf3091ab0d1182054dd804"}}